Amid rising pressure to translate scientific breakthroughs into tangible advances in energy, materials, and national security, a new federal program set out to knit the nation’s most advanced compute, data, and laboratory assets into a single engine for discovery that learns as it works and
Global AI adoption hit a hard ceiling as privacy rules, board scrutiny, and sector mandates stalled enterprise rollouts until sensitive conversations, uploads, and model outputs could reliably stay within national borders. OpenAI’s expansion of data-at-rest residency across the EEA and Switzerland,
Laurent Giraid has spent years at the intersection of AI systems and the guardrails that make them safe and useful. Today, he’s focused on helping enterprises move beyond proofs of concept to production, where resilience, security, and governance determine real outcomes. In this conversation, we
Caitlin Laing sat down with Laurent Giraid, a technologist focused on machine learning, natural language processing, and AI ethics, to explore how Europe can convert world-class research and strong values into measurable economic gains. The conversation ranges from a €1.2 trillion opportunity and
When a disease target offers nothing but a flat, slippery surface that laughs at small molecules and shrugs off antibodies, discovery teams usually back away or burn years on expensive guesswork that seldom pays off. BoltzGen, an open-source model from MIT’s Jameel Clinic, steps directly into that
Why AI Now Sits on the Factory Floor, Not in the Lab Supply shocks, higher energy and material costs, and customized orders that change by the week have pushed experimentation off the table and made operational AI a competitive mandate. The message from the field is blunt: point solutions in
